Representing Mental States & Mechanisms

Papers from the AAAI Spring Symposium

The ability to reason about mental states and cognitive mechanisms facilitates
performance at a variety of tasks. The purpose of this symposium is to enhance
our ability to construct programs that employ commonsense knowledge of mental
phenomena in an explicit representational format that can be shared across
domains and systems. The need to represent knowledge of mental activity
transcends usual disciplinary boundaries to include, not simply conditions
whereby an agent might introspect about the mental world, but most reasoning
tasks where systems interact with users, coordinate behaviors with autonomous
agents, or consider their own beliefs and limitations with respect to the
physical world.